from sklearn_benchmarks.reporting.hp_match import HPMatchReporting
import pandas as pd
pd.set_option('display.max_colwidth', None)
pd.set_option('display.max_columns', None)
pd.set_option('display.max_rows', None)
reporting = HPMatchReporting("sklearnex", config="config.yml")
reporting.run()
KNeighborsClassifier_brute_force¶scikit-learn-intelex (2021.20210705.191215) vs. scikit-learn (1.0.dev0)
All estimators share the following hyperparameters: algorithm=brute.
| estimator | is_onnx | function | n_samples_train | n_samples | n_features | mean_duration_sklearn | std_duration_sklearn | n_iter | iteration_throughput | latency | n_jobs | n_neighbors | accuracy_score_sklearn | accuracy_score_sklearnex | mean_duration_sklearnex | std_duration_sklearnex | speedup | std_speedup | sklearn_profiling | sklearnex_profiling | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 0 | KNeighborsClassifier_brute_force | False | fit | 100000 | 100000 | 100 | 0.011 | 0.0 | NaN | 7.164 | 0.0 | -1 | 1 | NaN | NaN | 0.067 | 0.000 | 0.166 | 0.166 | See | See |
| 5 | KNeighborsClassifier_brute_force | False | fit | 100000 | 100000 | 100 | 0.012 | 0.0 | NaN | 6.543 | 0.0 | -1 | 5 | NaN | 1.000 | 0.008 | 0.000 | 1.451 | 1.453 | See | See |
| 10 | KNeighborsClassifier_brute_force | False | fit | 100000 | 100000 | 100 | 0.011 | 0.0 | NaN | 6.971 | 0.0 | 1 | 100 | NaN | 0.875 | 0.219 | 0.008 | 0.052 | 0.052 | See | See |
| 15 | KNeighborsClassifier_brute_force | False | fit | 100000 | 100000 | 100 | 0.012 | 0.0 | NaN | 6.538 | 0.0 | -1 | 100 | NaN | NaN | 0.048 | 0.000 | 0.254 | 0.254 | See | See |
| 20 | KNeighborsClassifier_brute_force | False | fit | 100000 | 100000 | 100 | 0.011 | 0.0 | NaN | 6.978 | 0.0 | 1 | 5 | NaN | 1.000 | 0.001 | 0.000 | 13.461 | 13.589 | See | See |
| 25 | KNeighborsClassifier_brute_force | False | fit | 100000 | 100000 | 100 | 0.012 | 0.0 | NaN | 6.871 | 0.0 | 1 | 1 | NaN | 0.975 | 0.062 | 0.002 | 0.188 | 0.188 | See | See |
| 30 | KNeighborsClassifier_brute_force | False | fit | 100000 | 100000 | 2 | 0.005 | 0.0 | NaN | 0.306 | 0.0 | -1 | 1 | NaN | NaN | 0.008 | 0.000 | 0.631 | 0.631 | See | See |
| 35 | KNeighborsClassifier_brute_force | False | fit | 100000 | 100000 | 2 | 0.005 | 0.0 | NaN | 0.317 | 0.0 | -1 | 5 | NaN | 1.000 | 0.001 | 0.000 | 6.124 | 6.209 | See | See |
| estimator | is_onnx | function | n_samples_train | n_samples | n_features | mean_duration_sklearn | std_duration_sklearn | n_iter | iteration_throughput | latency | n_jobs | n_neighbors | accuracy_score_sklearn | accuracy_score_sklearnex | mean_duration_sklearnex | std_duration_sklearnex | speedup | std_speedup | sklearn_profiling | sklearnex_profiling | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 1 | KNeighborsClassifier_brute_force | True | predict | 100000 | 1000 | 100 | 17.886 | 0.058 | NaN | 0.000 | 0.018 | -1 | 1 | 0.663 | 0.687 | 0.185 | 0.008 | 96.588 | 96.675 | See | See |
| 2 | KNeighborsClassifier_brute_force | False | predict | 100000 | 1000 | 100 | 1.915 | 0.046 | NaN | 0.000 | 0.002 | -1 | 1 | 0.663 | 1.000 | 0.008 | 0.000 | 234.022 | 234.315 | See | See |
| 3 | KNeighborsClassifier_brute_force | True | predict | 100000 | 1 | 100 | 0.325 | 0.010 | NaN | 0.000 | 0.325 | -1 | 1 | 1.000 | NaN | 0.047 | 0.000 | 6.848 | 6.848 | See | See |
| 4 | KNeighborsClassifier_brute_force | False | predict | 100000 | 1 | 100 | 0.024 | 0.002 | NaN | 0.000 | 0.024 | -1 | 1 | 1.000 | 0.742 | 0.182 | 0.004 | 0.133 | 0.133 | See | See |
| 6 | KNeighborsClassifier_brute_force | True | predict | 100000 | 1000 | 100 | 18.711 | 0.207 | NaN | 0.000 | 0.019 | -1 | 5 | 0.757 | NaN | 0.049 | 0.000 | 385.125 | 385.125 | See | See |
| 7 | KNeighborsClassifier_brute_force | False | predict | 100000 | 1000 | 100 | 2.804 | 0.063 | NaN | 0.000 | 0.003 | -1 | 5 | 0.757 | 0.875 | 0.226 | 0.006 | 12.401 | 12.405 | See | See |
| 8 | KNeighborsClassifier_brute_force | True | predict | 100000 | 1 | 100 | 0.316 | 0.018 | NaN | 0.000 | 0.316 | -1 | 5 | 1.000 | 0.000 | 0.008 | 0.001 | 38.556 | 38.639 | See | See |
| 9 | KNeighborsClassifier_brute_force | False | predict | 100000 | 1 | 100 | 0.024 | 0.003 | NaN | 0.000 | 0.024 | -1 | 5 | 1.000 | NaN | 0.046 | 0.000 | 0.529 | 0.529 | See | See |
| 11 | KNeighborsClassifier_brute_force | True | predict | 100000 | 1000 | 100 | 17.650 | 0.193 | NaN | 0.000 | 0.018 | 1 | 100 | 0.882 | 0.000 | 0.008 | 0.000 | 2154.097 | 2157.421 | See | See |
| 12 | KNeighborsClassifier_brute_force | False | predict | 100000 | 1000 | 100 | 2.119 | 0.060 | NaN | 0.000 | 0.002 | 1 | 100 | 0.882 | NaN | 0.053 | 0.000 | 39.824 | 39.824 | See | See |
| 13 | KNeighborsClassifier_brute_force | True | predict | 100000 | 1 | 100 | 0.318 | 0.015 | NaN | 0.000 | 0.318 | 1 | 100 | 1.000 | 0.742 | 0.184 | 0.003 | 1.727 | 1.727 | See | See |
| 14 | KNeighborsClassifier_brute_force | False | predict | 100000 | 1 | 100 | 0.022 | 0.001 | NaN | 0.000 | 0.022 | 1 | 100 | 1.000 | 1.000 | 0.008 | 0.000 | 2.561 | 2.565 | See | See |
| 16 | KNeighborsClassifier_brute_force | True | predict | 100000 | 1000 | 100 | 18.033 | 0.137 | NaN | 0.000 | 0.018 | -1 | 100 | 0.882 | 0.687 | 0.198 | 0.011 | 90.959 | 91.098 | See | See |
| 17 | KNeighborsClassifier_brute_force | False | predict | 100000 | 1000 | 100 | 2.832 | 0.034 | NaN | 0.000 | 0.003 | -1 | 100 | 0.882 | 1.000 | 0.008 | 0.001 | 340.737 | 341.405 | See | See |
| 18 | KNeighborsClassifier_brute_force | True | predict | 100000 | 1 | 100 | 0.329 | 0.012 | NaN | 0.000 | 0.329 | -1 | 100 | 1.000 | NaN | 0.009 | 0.000 | 38.082 | 38.082 | See | See |
| 19 | KNeighborsClassifier_brute_force | False | predict | 100000 | 1 | 100 | 0.026 | 0.003 | NaN | 0.000 | 0.026 | -1 | 100 | 1.000 | 0.967 | 0.027 | 0.002 | 0.945 | 0.946 | See | See |
| 21 | KNeighborsClassifier_brute_force | True | predict | 100000 | 1000 | 100 | 17.589 | 0.192 | NaN | 0.000 | 0.018 | 1 | 5 | 0.757 | NaN | 0.009 | 0.000 | 1919.458 | 1919.458 | See | See |
| 22 | KNeighborsClassifier_brute_force | False | predict | 100000 | 1000 | 100 | 2.094 | 0.043 | NaN | 0.000 | 0.002 | 1 | 5 | 0.757 | 0.974 | 0.029 | 0.001 | 71.946 | 72.017 | See | See |
| 23 | KNeighborsClassifier_brute_force | True | predict | 100000 | 1 | 100 | 0.301 | 0.012 | NaN | 0.000 | 0.301 | 1 | 5 | 1.000 | 1.000 | 0.001 | 0.000 | 334.934 | 346.436 | See | See |
| 24 | KNeighborsClassifier_brute_force | False | predict | 100000 | 1 | 100 | 0.021 | 0.000 | NaN | 0.000 | 0.021 | 1 | 5 | 1.000 | NaN | 0.011 | 0.000 | 1.997 | 1.997 | See | See |
| 26 | KNeighborsClassifier_brute_force | True | predict | 100000 | 1000 | 100 | 17.946 | 0.026 | NaN | 0.000 | 0.018 | 1 | 1 | 0.663 | 1.000 | 0.001 | 0.000 | 21714.431 | 22433.240 | See | See |
| 27 | KNeighborsClassifier_brute_force | False | predict | 100000 | 1000 | 100 | 1.186 | 0.024 | NaN | 0.001 | 0.001 | 1 | 1 | 0.663 | NaN | 0.008 | 0.000 | 141.253 | 141.253 | See | See |
| 28 | KNeighborsClassifier_brute_force | True | predict | 100000 | 1 | 100 | 0.305 | 0.009 | NaN | 0.000 | 0.305 | 1 | 1 | 1.000 | 0.975 | 0.063 | 0.003 | 4.816 | 4.824 | See | See |
| 29 | KNeighborsClassifier_brute_force | False | predict | 100000 | 1 | 100 | 0.020 | 0.000 | NaN | 0.000 | 0.020 | 1 | 1 | 1.000 | 1.000 | 0.001 | 0.000 | 21.337 | 21.629 | See | See |
| 31 | KNeighborsClassifier_brute_force | True | predict | 100000 | 1000 | 2 | 3.836 | 0.051 | NaN | 0.000 | 0.004 | -1 | 1 | 0.896 | 0.974 | 0.031 | 0.002 | 122.402 | 122.624 | See | See |
| 32 | KNeighborsClassifier_brute_force | False | predict | 100000 | 1000 | 2 | 1.724 | 0.034 | NaN | 0.000 | 0.002 | -1 | 1 | 0.896 | 1.000 | 0.001 | 0.000 | 2247.257 | 2324.638 | See | See |
| 33 | KNeighborsClassifier_brute_force | True | predict | 100000 | 1 | 2 | 0.267 | 0.010 | NaN | 0.000 | 0.267 | -1 | 1 | 1.000 | NaN | 0.009 | 0.000 | 28.782 | 28.782 | See | See |
| 34 | KNeighborsClassifier_brute_force | False | predict | 100000 | 1 | 2 | 0.008 | 0.003 | NaN | 0.000 | 0.008 | -1 | 1 | 1.000 | 0.967 | 0.031 | 0.001 | 0.269 | 0.269 | See | See |
KNeighborsClassifier_kd_tree¶scikit-learn-intelex (2021.20210705.191215) vs. scikit-learn (1.0.dev0)
All estimators share the following hyperparameters: algorithm=kd_tree.
| estimator | is_onnx | function | n_samples_train | n_samples | n_features | mean_duration_sklearn | std_duration_sklearn | n_iter | iteration_throughput | latency | n_jobs | n_neighbors | accuracy_score_sklearn | accuracy_score_sklearnex | mean_duration_sklearnex | std_duration_sklearnex | speedup | std_speedup | sklearn_profiling | sklearnex_profiling | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 0 | KNeighborsClassifier_kd_tree | False | fit | 1000000 | 1000000 | 10 | 2.858 | 0.0 | NaN | 0.028 | 0.0 | -1 | 1 | NaN | NaN | 0.956 | 0.000 | 2.989 | 2.989 | See | See |
| 5 | KNeighborsClassifier_kd_tree | False | fit | 1000000 | 1000000 | 10 | 3.833 | 0.0 | NaN | 0.021 | 0.0 | -1 | 5 | NaN | 1.000 | 0.000 | 0.000 | 9250.339 | 10107.413 | See | See |
| 10 | KNeighborsClassifier_kd_tree | False | fit | 1000000 | 1000000 | 10 | 3.775 | 0.0 | NaN | 0.021 | 0.0 | 1 | 100 | NaN | 0.940 | 0.561 | 0.011 | 6.726 | 6.728 | See | See |
| 15 | KNeighborsClassifier_kd_tree | False | fit | 1000000 | 1000000 | 10 | 3.660 | 0.0 | NaN | 0.022 | 0.0 | -1 | 100 | NaN | NaN | 0.702 | 0.000 | 5.212 | 5.212 | See | See |
| 20 | KNeighborsClassifier_kd_tree | False | fit | 1000000 | 1000000 | 10 | 3.579 | 0.0 | NaN | 0.022 | 0.0 | 1 | 5 | NaN | 1.000 | 0.000 | 0.000 | 30358.468 | 37342.541 | See | See |
| 25 | KNeighborsClassifier_kd_tree | False | fit | 1000000 | 1000000 | 10 | 3.756 | 0.0 | NaN | 0.021 | 0.0 | 1 | 1 | NaN | 0.917 | 0.005 | 0.001 | 698.615 | 702.175 | See | See |
| 30 | KNeighborsClassifier_kd_tree | False | fit | 1000 | 1000 | 2 | 0.002 | 0.0 | NaN | 0.007 | 0.0 | -1 | 1 | NaN | NaN | 0.006 | 0.000 | 0.352 | 0.352 | See | See |
| 35 | KNeighborsClassifier_kd_tree | False | fit | 1000 | 1000 | 2 | 0.001 | 0.0 | NaN | 0.023 | 0.0 | -1 | 5 | NaN | 1.000 | 0.000 | 0.000 | 6.300 | 8.066 | See | See |
| estimator | is_onnx | function | n_samples_train | n_samples | n_features | mean_duration_sklearn | std_duration_sklearn | n_iter | iteration_throughput | latency | n_jobs | n_neighbors | accuracy_score_sklearn | accuracy_score_sklearnex | mean_duration_sklearnex | std_duration_sklearnex | speedup | std_speedup | sklearn_profiling | sklearnex_profiling | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 1 | KNeighborsClassifier_kd_tree | True | predict | 1000000 | 1000 | 10 | 129.649 | 0.000 | NaN | 0.000 | 0.130 | -1 | 1 | 0.929 | 0.910 | 0.107 | 0.001 | 1214.241 | 1214.315 | See | See |
| 2 | KNeighborsClassifier_kd_tree | False | predict | 1000000 | 1000 | 10 | 0.532 | 0.053 | NaN | 0.000 | 0.001 | -1 | 1 | 0.929 | 1.000 | 0.000 | 0.000 | 1913.338 | 2103.138 | See | See |
| 3 | KNeighborsClassifier_kd_tree | True | predict | 1000000 | 1 | 10 | 2.706 | 0.184 | NaN | 0.000 | 2.706 | -1 | 1 | 1.000 | NaN | 0.773 | 0.000 | 3.499 | 3.499 | See | See |
| 4 | KNeighborsClassifier_kd_tree | False | predict | 1000000 | 1 | 10 | 0.004 | 0.002 | NaN | 0.000 | 0.004 | -1 | 1 | 1.000 | 0.941 | 0.189 | 0.009 | 0.022 | 0.022 | See | See |
| 6 | KNeighborsClassifier_kd_tree | True | predict | 1000000 | 1000 | 10 | 130.282 | 0.000 | NaN | 0.000 | 0.130 | -1 | 5 | 0.946 | NaN | 0.727 | 0.000 | 179.252 | 179.252 | See | See |
| 7 | KNeighborsClassifier_kd_tree | False | predict | 1000000 | 1000 | 10 | 0.908 | 0.026 | NaN | 0.000 | 0.001 | -1 | 5 | 0.946 | 0.940 | 0.553 | 0.012 | 1.641 | 1.641 | See | See |
| 8 | KNeighborsClassifier_kd_tree | True | predict | 1000000 | 1 | 10 | 2.804 | 0.110 | NaN | 0.000 | 2.804 | -1 | 5 | 1.000 | 1.000 | 0.001 | 0.000 | 3642.184 | 3956.279 | See | See |
| 9 | KNeighborsClassifier_kd_tree | False | predict | 1000000 | 1 | 10 | 0.004 | 0.001 | NaN | 0.000 | 0.004 | -1 | 5 | 1.000 | NaN | 0.749 | 0.000 | 0.005 | 0.005 | See | See |
| 11 | KNeighborsClassifier_kd_tree | True | predict | 1000000 | 1000 | 10 | 133.110 | 0.000 | NaN | 0.000 | 0.133 | 1 | 100 | 0.951 | 1.000 | 0.001 | 0.000 | 151874.717 | 159165.853 | See | See |
| 12 | KNeighborsClassifier_kd_tree | False | predict | 1000000 | 1000 | 10 | 5.269 | 0.155 | NaN | 0.000 | 0.005 | 1 | 100 | 0.951 | NaN | 0.725 | 0.000 | 7.271 | 7.271 | See | See |
| 13 | KNeighborsClassifier_kd_tree | True | predict | 1000000 | 1 | 10 | 2.658 | 0.087 | NaN | 0.000 | 2.658 | 1 | 100 | 1.000 | 0.941 | 0.189 | 0.004 | 14.089 | 14.093 | See | See |
| 14 | KNeighborsClassifier_kd_tree | False | predict | 1000000 | 1 | 10 | 0.003 | 0.001 | NaN | 0.000 | 0.003 | 1 | 100 | 1.000 | 1.000 | 0.000 | 0.000 | 7.225 | 7.743 | See | See |
| 16 | KNeighborsClassifier_kd_tree | True | predict | 1000000 | 1000 | 10 | 131.252 | 0.000 | NaN | 0.000 | 0.131 | -1 | 100 | 0.951 | 0.910 | 0.102 | 0.002 | 1287.355 | 1287.668 | See | See |
| 17 | KNeighborsClassifier_kd_tree | False | predict | 1000000 | 1000 | 10 | 2.837 | 0.055 | NaN | 0.000 | 0.003 | -1 | 100 | 0.951 | 1.000 | 0.000 | 0.000 | 8758.045 | 9601.973 | See | See |
| 18 | KNeighborsClassifier_kd_tree | True | predict | 1000000 | 1 | 10 | 2.692 | 0.137 | NaN | 0.000 | 2.692 | -1 | 100 | 1.000 | NaN | 0.001 | 0.000 | 2375.317 | 2375.317 | See | See |
| 19 | KNeighborsClassifier_kd_tree | False | predict | 1000000 | 1 | 10 | 0.005 | 0.002 | NaN | 0.000 | 0.005 | -1 | 100 | 1.000 | 0.879 | 0.000 | 0.000 | 10.651 | 10.994 | See | See |
| 21 | KNeighborsClassifier_kd_tree | True | predict | 1000000 | 1000 | 10 | 136.236 | 0.000 | NaN | 0.000 | 0.136 | 1 | 5 | 0.946 | NaN | 0.004 | 0.000 | 38681.631 | 38681.631 | See | See |
| 22 | KNeighborsClassifier_kd_tree | False | predict | 1000000 | 1000 | 10 | 1.536 | 0.031 | NaN | 0.000 | 0.002 | 1 | 5 | 0.946 | 0.905 | 0.001 | 0.000 | 1864.415 | 1953.008 | See | See |
| 23 | KNeighborsClassifier_kd_tree | True | predict | 1000000 | 1 | 10 | 2.847 | 0.157 | NaN | 0.000 | 2.847 | 1 | 5 | 1.000 | 1.000 | 0.000 | 0.000 | 22801.402 | 28733.141 | See | See |
| 24 | KNeighborsClassifier_kd_tree | False | predict | 1000000 | 1 | 10 | 0.002 | 0.000 | NaN | 0.000 | 0.002 | 1 | 5 | 1.000 | NaN | 0.006 | 0.000 | 0.286 | 0.286 | See | See |
| 26 | KNeighborsClassifier_kd_tree | True | predict | 1000000 | 1000 | 10 | 133.334 | 0.000 | NaN | 0.000 | 0.133 | 1 | 1 | 0.929 | 1.000 | 0.000 | 0.000 | 1080394.548 | 1328266.609 | See | See |
| 27 | KNeighborsClassifier_kd_tree | False | predict | 1000000 | 1000 | 10 | 0.817 | 0.015 | NaN | 0.000 | 0.001 | 1 | 1 | 0.929 | NaN | 0.005 | 0.000 | 163.813 | 163.813 | See | See |
| 28 | KNeighborsClassifier_kd_tree | True | predict | 1000000 | 1 | 10 | 2.769 | 0.094 | NaN | 0.000 | 2.769 | 1 | 1 | 1.000 | 0.917 | 0.005 | 0.000 | 508.309 | 510.179 | See | See |
| 29 | KNeighborsClassifier_kd_tree | False | predict | 1000000 | 1 | 10 | 0.001 | 0.000 | NaN | 0.000 | 0.001 | 1 | 1 | 1.000 | 1.000 | 0.000 | 0.000 | 8.250 | 10.107 | See | See |
| 31 | KNeighborsClassifier_kd_tree | True | predict | 1000 | 1000 | 2 | 0.041 | 0.004 | NaN | 0.000 | 0.000 | -1 | 1 | 0.891 | 0.905 | 0.001 | 0.000 | 48.043 | 49.602 | See | See |
| 32 | KNeighborsClassifier_kd_tree | False | predict | 1000 | 1000 | 2 | 0.025 | 0.002 | NaN | 0.001 | 0.000 | -1 | 1 | 0.891 | 1.000 | 0.000 | 0.000 | 206.009 | 254.027 | See | See |
| 33 | KNeighborsClassifier_kd_tree | True | predict | 1000 | 1 | 2 | 0.005 | 0.001 | NaN | 0.000 | 0.005 | -1 | 1 | 1.000 | NaN | 0.004 | 0.000 | 1.359 | 1.359 | See | See |
| 34 | KNeighborsClassifier_kd_tree | False | predict | 1000 | 1 | 2 | 0.002 | 0.001 | NaN | 0.000 | 0.002 | -1 | 1 | 1.000 | 0.879 | 0.001 | 0.000 | 4.386 | 4.522 | See | See |
KMeans_tall¶scikit-learn-intelex (2021.20210705.191215) vs. scikit-learn (1.0.dev0)
All estimators share the following hyperparameters: algorithm=full, n_clusters=3, max_iter=30, n_init=1, tol=1e-16.
| estimator | is_onnx | function | n_samples_train | n_samples | n_features | mean_duration_sklearn | std_duration_sklearn | n_iter_sklearn | iteration_throughput | latency | init | adjusted_rand_score_sklearn | n_iter_sklearnex | adjusted_rand_score_sklearnex | mean_duration_sklearnex | std_duration_sklearnex | speedup | std_speedup | sklearn_profiling | sklearnex_profiling | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 0 | KMeans_tall | False | fit | 1000000 | 1000000 | 2 | 0.855 | 0.0 | 30 | 0.019 | 0.0 | random | NaN | 30 | NaN | 0.443 | 0.0 | 1.931 | 1.931 | See | See |
| 3 | KMeans_tall | False | fit | 1000000 | 1000000 | 2 | 0.603 | 0.0 | 30 | 0.027 | 0.0 | k-means++ | NaN | 30 | NaN | 0.459 | 0.0 | 1.314 | 1.314 | See | See |
| 6 | KMeans_tall | False | fit | 1000000 | 1000000 | 100 | 6.067 | 0.0 | 30 | 0.132 | 0.0 | random | NaN | 30 | NaN | 2.861 | 0.0 | 2.121 | 2.121 | See | See |
| 9 | KMeans_tall | False | fit | 1000000 | 1000000 | 100 | 6.032 | 0.0 | 30 | 0.133 | 0.0 | k-means++ | NaN | 30 | NaN | 2.942 | 0.0 | 2.050 | 2.050 | See | See |
| estimator | is_onnx | function | n_samples_train | n_samples | n_features | mean_duration_sklearn | std_duration_sklearn | n_iter_sklearn | iteration_throughput | latency | init | adjusted_rand_score_sklearn | n_iter_sklearnex | adjusted_rand_score_sklearnex | mean_duration_sklearnex | std_duration_sklearnex | speedup | std_speedup | sklearn_profiling | sklearnex_profiling | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 1 | KMeans_tall | False | predict | 1000000 | 1000 | 2 | 0.002 | 0.0 | 30 | 0.010 | 0.000 | random | 0.000 | 30 | 0.001 | 0.0 | 0.0 | 8.506 | 9.723 | See | See |
| 2 | KMeans_tall | False | predict | 1000000 | 1 | 2 | 0.001 | 0.0 | 30 | 0.000 | 0.001 | random | 1.000 | 30 | 1.000 | 0.0 | 0.0 | 11.078 | 13.101 | See | See |
| 4 | KMeans_tall | False | predict | 1000000 | 1000 | 2 | 0.002 | 0.0 | 30 | 0.010 | 0.000 | k-means++ | 0.001 | 30 | 0.001 | 0.0 | 0.0 | 7.569 | 9.263 | See | See |
| 5 | KMeans_tall | False | predict | 1000000 | 1 | 2 | 0.002 | 0.0 | 30 | 0.000 | 0.002 | k-means++ | 1.000 | 30 | 1.000 | 0.0 | 0.0 | 12.719 | 15.584 | See | See |
| 7 | KMeans_tall | False | predict | 1000000 | 1000 | 100 | 0.002 | 0.0 | 30 | 0.394 | 0.000 | random | 0.002 | 30 | 0.002 | 0.0 | 0.0 | 6.727 | 7.104 | See | See |
| 8 | KMeans_tall | False | predict | 1000000 | 1 | 100 | 0.002 | 0.0 | 30 | 0.001 | 0.002 | random | 1.000 | 30 | 1.000 | 0.0 | 0.0 | 10.828 | 12.580 | See | See |
| 10 | KMeans_tall | False | predict | 1000000 | 1000 | 100 | 0.002 | 0.0 | 30 | 0.448 | 0.000 | k-means++ | 0.002 | 30 | 0.002 | 0.0 | 0.0 | 5.908 | 6.406 | See | See |
| 11 | KMeans_tall | False | predict | 1000000 | 1 | 100 | 0.002 | 0.0 | 30 | 0.000 | 0.002 | k-means++ | 1.000 | 30 | 1.000 | 0.0 | 0.0 | 9.203 | 11.517 | See | See |
KMeans_short¶scikit-learn-intelex (2021.20210705.191215) vs. scikit-learn (1.0.dev0)
All estimators share the following hyperparameters: algorithm=full, n_clusters=300, max_iter=20, n_init=1, tol=1e-16.
| estimator | is_onnx | function | n_samples_train | n_samples | n_features | mean_duration_sklearn | std_duration_sklearn | n_iter_sklearn | iteration_throughput | latency | init | adjusted_rand_score_sklearn | n_iter_sklearnex | adjusted_rand_score_sklearnex | mean_duration_sklearnex | std_duration_sklearnex | speedup | std_speedup | sklearn_profiling | sklearnex_profiling | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 0 | KMeans_short | False | fit | 10000 | 10000 | 2 | 0.113 | 0.0 | 20 | 0.001 | 0.0 | random | NaN | 20 | NaN | 0.055 | 0.0 | 2.059 | 2.059 | See | See |
| 3 | KMeans_short | False | fit | 10000 | 10000 | 2 | 0.238 | 0.0 | 20 | 0.001 | 0.0 | k-means++ | NaN | 20 | NaN | 0.091 | 0.0 | 2.600 | 2.600 | See | See |
| 6 | KMeans_short | False | fit | 10000 | 10000 | 100 | 0.379 | 0.0 | 20 | 0.021 | 0.0 | random | NaN | 20 | NaN | 0.131 | 0.0 | 2.887 | 2.887 | See | See |
| 9 | KMeans_short | False | fit | 10000 | 10000 | 100 | 0.648 | 0.0 | 20 | 0.012 | 0.0 | k-means++ | NaN | 20 | NaN | 0.312 | 0.0 | 2.074 | 2.074 | See | See |
| estimator | is_onnx | function | n_samples_train | n_samples | n_features | mean_duration_sklearn | std_duration_sklearn | n_iter_sklearn | iteration_throughput | latency | init | adjusted_rand_score_sklearn | n_iter_sklearnex | adjusted_rand_score_sklearnex | mean_duration_sklearnex | std_duration_sklearnex | speedup | std_speedup | sklearn_profiling | sklearnex_profiling | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 1 | KMeans_short | False | predict | 10000 | 1000 | 2 | 0.006 | 0.014 | 20 | 0.003 | 0.000 | random | 0.002 | 20 | 0.001 | 0.001 | 0.001 | 6.200 | 7.891 | See | See |
| 2 | KMeans_short | False | predict | 10000 | 1 | 2 | 0.005 | 0.008 | 20 | 0.000 | 0.005 | random | 1.000 | 20 | 1.000 | 0.000 | 0.000 | 30.545 | 35.293 | See | See |
| 4 | KMeans_short | False | predict | 10000 | 1000 | 2 | 0.002 | 0.000 | 20 | 0.009 | 0.000 | k-means++ | 0.002 | 20 | 0.001 | 0.001 | 0.000 | 2.938 | 3.037 | See | See |
| 5 | KMeans_short | False | predict | 10000 | 1 | 2 | 0.003 | 0.004 | 20 | 0.000 | 0.003 | k-means++ | 1.000 | 20 | 1.000 | 0.000 | 0.000 | 22.135 | 25.061 | See | See |
| 7 | KMeans_short | False | predict | 10000 | 1000 | 100 | 0.003 | 0.001 | 20 | 0.272 | 0.000 | random | 0.321 | 20 | 0.311 | 0.001 | 0.000 | 2.194 | 2.248 | See | See |
| 8 | KMeans_short | False | predict | 10000 | 1 | 100 | 0.002 | 0.000 | 20 | 0.000 | 0.002 | random | 1.000 | 20 | 1.000 | 0.000 | 0.000 | 9.106 | 10.279 | See | See |
| 10 | KMeans_short | False | predict | 10000 | 1000 | 100 | 0.003 | 0.000 | 20 | 0.249 | 0.000 | k-means++ | 0.381 | 20 | 0.286 | 0.001 | 0.001 | 2.328 | 2.512 | See | See |
| 11 | KMeans_short | False | predict | 10000 | 1 | 100 | 0.002 | 0.000 | 20 | 0.000 | 0.002 | k-means++ | 1.000 | 20 | 1.000 | 0.000 | 0.000 | 8.698 | 9.362 | See | See |
LogisticRegression¶scikit-learn-intelex (2021.20210705.191215) vs. scikit-learn (1.0.dev0)
All estimators share the following hyperparameters: penalty=l2, dual=False, tol=0.0001, C=1.0, fit_intercept=True, intercept_scaling=1, class_weight=nan, random_state=nan, solver=lbfgs, max_iter=100, multi_class=auto, verbose=0, warm_start=False, n_jobs=nan, l1_ratio=nan.
| estimator | is_onnx | function | n_samples_train | n_samples | n_features | mean_duration_sklearn | std_duration_sklearn | n_iter | iteration_throughput | latency | class_weight | l1_ratio | n_jobs | random_state | accuracy_score | mean_duration_sklearnex | std_duration_sklearnex | speedup | std_speedup | sklearn_profiling | sklearnex_profiling | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 0 | LogisticRegression | False | fit | 1000000 | 1000000 | 100 | 11.800 | 0.0 | [20] | 0.068 | 0.000 | NaN | NaN | NaN | NaN | NaN | 1.926 | 0.0 | 6.127 | 6.127 | See | See |
| 3 | LogisticRegression | False | fit | 1000 | 1000 | 10000 | 6.147 | 0.0 | [26] | 0.013 | 0.006 | NaN | NaN | NaN | NaN | NaN | 0.811 | 0.0 | 7.577 | 7.577 | See | See |
| estimator | is_onnx | function | n_samples_train | n_samples | n_features | mean_duration_sklearn | std_duration_sklearn | n_iter | iteration_throughput | latency | class_weight | l1_ratio | n_jobs | random_state | accuracy_score | mean_duration_sklearnex | std_duration_sklearnex | speedup | std_speedup | sklearn_profiling | sklearnex_profiling | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 1 | LogisticRegression | False | predict | 1000000 | 1000 | 100 | 0.000 | 0.0 | [20] | 2.705 | 0.0 | NaN | NaN | NaN | NaN | 0.56 | 0.000 | 0.0 | 0.775 | 0.834 | See | See |
| 2 | LogisticRegression | False | predict | 1000000 | 1 | 100 | 0.000 | 0.0 | [20] | 0.011 | 0.0 | NaN | NaN | NaN | NaN | 1.00 | 0.000 | 0.0 | 0.355 | 0.395 | See | See |
| 4 | LogisticRegression | False | predict | 1000 | 100 | 10000 | 0.002 | 0.0 | [26] | 3.476 | 0.0 | NaN | NaN | NaN | NaN | 0.35 | 0.003 | 0.0 | 0.700 | 0.705 | See | See |
| 5 | LogisticRegression | False | predict | 1000 | 1 | 10000 | 0.000 | 0.0 | [26] | 0.756 | 0.0 | NaN | NaN | NaN | NaN | 0.00 | 0.001 | 0.0 | 0.122 | 0.126 | See | See |
Ridge¶scikit-learn-intelex (2021.20210705.191215) vs. scikit-learn (1.0.dev0)
All estimators share the following hyperparameters: alpha=1.0, fit_intercept=True, normalize=deprecated, copy_X=True, max_iter=nan, tol=0.001, solver=auto, random_state=nan.
| estimator | is_onnx | function | n_samples_train | n_samples | n_features | mean_duration_sklearn | std_duration_sklearn | n_iter | iteration_throughput | latency | max_iter | random_state | r2_score | mean_duration_sklearnex | std_duration_sklearnex | speedup | std_speedup | sklearn_profiling | sklearnex_profiling | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 0 | Ridge | False | fit | 1000 | 1000 | 10000 | 0.194 | 0.0 | NaN | 0.412 | 0.0 | NaN | NaN | NaN | 0.208 | 0.0 | 0.932 | 0.932 | See | See |
| 3 | Ridge | False | fit | 1000000 | 1000000 | 100 | 1.459 | 0.0 | NaN | 0.548 | 0.0 | NaN | NaN | NaN | 0.924 | 0.0 | 1.579 | 1.579 | See | See |
| estimator | is_onnx | function | n_samples_train | n_samples | n_features | mean_duration_sklearn | std_duration_sklearn | n_iter | iteration_throughput | latency | max_iter | random_state | r2_score | mean_duration_sklearnex | std_duration_sklearnex | speedup | std_speedup | sklearn_profiling | sklearnex_profiling | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 1 | Ridge | False | predict | 1000 | 1000 | 10000 | 0.01 | 0.0 | NaN | 7.661 | 0.0 | NaN | NaN | 0.083 | 0.017 | 0.0 | 0.615 | 0.615 | See | See |
| 2 | Ridge | False | predict | 1000 | 1 | 10000 | 0.00 | 0.0 | NaN | 1.045 | 0.0 | NaN | NaN | NaN | 0.000 | 0.0 | 0.575 | 0.688 | See | See |
| 4 | Ridge | False | predict | 1000000 | 1000 | 100 | 0.00 | 0.0 | NaN | 3.812 | 0.0 | NaN | NaN | 1.000 | 0.000 | 0.0 | 0.795 | 0.876 | See | See |
| 5 | Ridge | False | predict | 1000000 | 1 | 100 | 0.00 | 0.0 | NaN | 0.012 | 0.0 | NaN | NaN | NaN | 0.000 | 0.0 | 0.680 | 0.792 | See | See |